• Create multiple graphs on the same row
• Create multiple graphs in the same column
• Create multiple graphs in rows and columns
• Tabbed layouts creating multiple drawings
• Create a powerful grid layout
• Link multiple charts together

Create multiple graphs on the same row

bokeh has a lot of data, which can be downloaded as follows:

In [2]: import bokeh

In [3]: bokeh.sampledata.download()
Creating /home/andrew/.bokeh directory
Creating /home/andrew/.bokeh/data directory
Using data directory: /home/andrew/.bokeh/data
Downloading: CGM.csv (1589982 bytes)
   1589982 [100.00%]
Downloading: US_Counties.zip (3182088 bytes)
   3182088 [100.00%]
Unpacking: US_Counties.csv
Downloading: us_cities.json (713565 bytes)
    713565 [100.00%]
Downloading: unemployment09.csv (253301 bytes)
    253301 [100.00%]
Downloading: AAPL.csv (166698 bytes)
    166698 [100.00%]
Downloading: FB.csv (9706 bytes)
      9706 [100.00%]
Downloading: GOOG.csv (113894 bytes)
    113894 [100.00%]
Downloading: IBM.csv (165625 bytes)
    165625 [100.00%]
Downloading: MSFT.csv (161614 bytes)
    161614 [100.00%]
Downloading: WPP2012_SA_DB03_POPULATION_QUINQUENNIAL.zip (5148539 bytes)
   5148539 [100.00%]
Unpacking: WPP2012_SA_DB03_POPULATION_QUINQUENNIAL.csv
Downloading: gapminder_fertility.csv (64346 bytes)
     64346 [100.00%]
Downloading: gapminder_population.csv (94509 bytes)
     94509 [100.00%]
Downloading: gapminder_life_expectancy.csv (73243 bytes)
     73243 [100.00%]
Downloading: gapminder_regions.csv (7781 bytes)
      7781 [100.00%]
Downloading: world_cities.zip (646858 bytes)
    646858 [100.00%]
Unpacking: world_cities.csv
Downloading: airports.json (6373 bytes)
      6373 [100.00%]
Downloading: movies.db.zip (5067833 bytes)
   5067833 [100.00%]
Unpacking: movies.db
Downloading: airports.csv (203190 bytes)
    203190 [100.00%]
Downloading: routes.csv (377280 bytes)
    377280 [100.00%]

#Preparing all the plots needed for this chapter

import pandas as pd
from bokeh.sampledata.stocks import AAPL

df_apple = pd.DataFrame(AAPL)
df_apple['date'] = pd.to_datetime(df_apple['date'])


#Import the required packages

from bokeh.io import output_file, show
from bokeh.plotting import figure
from bokeh.plotting import ColumnDataSource


#Create the ColumnDataSource object

data = ColumnDataSource(data = {
    'x' : df_apple['high'],
    'y' : df_apple['low'],
    'x1': df_apple['open'],
    'y1': df_apple['close'],
    'x2': df_apple['date'],
    'y2': df_apple['volume'], 
})


#Create the first scatter plot
plot1 = figure()
plot1.cross(x = 'x', y = 'y', source = data, color = 'red', size = 10, alpha = 0.8)

#Create the second scatter plot
plot2 = figure()
plot2.circle(x = 'x1', y = 'y1', source = data, color = 'green', size = 10, alpha = 0.3)

#Create the third scatter plot
plot3 = figure(x_axis_type = 'datetime', x_axis_label = 'date', y_axis_label = 'Volume Traded')
plot3.line(x = 'x2', y = 'y2', source = data, color = 'red')
plot3.circle(x = 'x2', y = 'y2', source = data, fill_color = 'white', size = 3)


#Output the 3 plots
#Output the plot1
output_file('first_plot.html')
show(plot1)

#Output the plot2
output_file('second_plot.html')
show(plot2)


#Output the plot3
output_file('third_plot.html')
show(plot3)


#Creating multiple plots along the same row
#Import the required packages
from bokeh.layouts import row
from bokeh.io import output_file, show

#Group the 3 plots into a 'row' layout
row_layout = row(plot1,plot2,plot3)

#Output the plot
output_file('horizontal.html')
show(row_layout)


#Creating multiple plots along the same column

#Import the required packages

from bokeh.layouts import column
from bokeh.io import output_file, show

#Group the 2 plots into a 'column' layout
col_layout = column(plot1,plot2)

#Output the plot
output_file('vertical.html')
show(col_layout)

#Creating multiple plots along a row and column

#Import the required packages

from bokeh.layouts import column, row
from bokeh.io import output_file, show

#Construct the nested layout
nested_layout = column(row(plot1,plot2), plot3)

#Output the plot
output_file('nested.html')
show(nested_layout)



#Creating multiple plots on a tabbed layout

#Import the required packages
from bokeh.models.widgets import Tabs, Panel
from bokeh.io import output_file, show
from bokeh.layouts import column, row

#Create the two panels 

tab1 = Panel(child = plot1, title = 'Tab One')
tab2 = Panel(child = column(plot2,plot3), title = 'Tab Two')

#Feed the tabs into a Tabs object
tabs_object = Tabs(tabs = [tab1, tab2])

#Output the plot
output_file('tab_layout.html')
show(tabs_object)



#Creating a grid layout
#Import required packages

from bokeh.io import output_file, show
from bokeh.layouts import gridplot

#Create the grid layout
grid_layout = gridplot([plot1, plot2], [plot3, None])

#Output the plot
output_file('grid.html')
show(grid_layout)


#Linking multiple plots along the y axis
#Import the required packages

from bokeh.io import output_file, show
from bokeh.layouts import row

#Creating equal y axis ranges
plot3.y_range = plot1.y_range

#Create the row layout
row_layout = row(plot3, plot1)

#Output the plot
output_file('grid.html')
show(row_layout)



#Linking multiple plots along the x axis
#Import the required packages
from bokeh.io import output_file, show
from bokeh.layouts import row

#Creating equal x-axis ranges
plot2.x_range = plot1.x_range

#Create the row layout
row_layout = row(plot2, plot1)

#Output the plot
output_file('row.html')
show(row_layout)

Lovely python test development library Please like github, thank you!
Summary of python Chinese Library Documents
[Xuefeng magnetic needle stone blog] python3 standard library - Chinese version
[Xuefeng magnetite blog] python3 quick start tutorial
Interface automation performance test online training program
Automatic test data analysis of python test development
Please pay attention to more Xuefeng magnetic needle stone: a brief book

• Technical support qq group: 144081101 (the group file will be recorded later) 591302926 567351477 nail free group: 21745728

• Taoist technology - palmistry, hand examination, Chinese medicine and other nail groups 21734177 qq group: 391441566 184175668 338228106, hand examination, face examination, tongue examination, lottery, constitution identification. The service fee is 50 yuan per person. Please contact pin or wechat Python

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png

Picture.png